# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "jfa" in publications use:' type: software license: GPL-3.0-or-later title: 'jfa: Statistical Methods for Auditing' version: 0.7.4 doi: 10.32614/CRAN.package.jfa identifiers: - type: doi value: 10.32614/CRAN.package.jfa abstract: Provides statistical methods for auditing as implemented in JASP for Audit (Derks et al., 2021 ). First, the package makes it easy for an auditor to plan a statistical sample, select the sample from the population, and evaluate the misstatement in the sample compliant with international auditing standards. Second, the package provides statistical methods for auditing data, including tests of digit distributions and repeated values. Finally, the package includes methods for auditing algorithms on the aspect of fairness and bias. Next to classical statistical methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) , Derks et al. (2024) , Derks et al. (2022) Derks et al. (2024) , and Derks et al. (2025) . authors: - family-names: Derks given-names: Koen email: k.derks@nyenrode.nl orcid: https://orcid.org/0000-0002-5533-9349 preferred-citation: type: manual title: 'jfa: Statistical methods for auditing' authors: - family-names: Derks given-names: Koen email: k.derks@nyenrode.nl orcid: https://orcid.org/0000-0002-5533-9349 year: '2025' notes: R package version 0.7.4 url: https://CRAN.R-project.org/package=jfa doi: 10.32614/CRAN.package.jfa repository: https://cran.r-universe.dev repository-code: https://github.com/koenderks/jfa commit: 2cae208c8e73cdd948517e70d1cc4bcf29fd450f url: https://koenderks.github.io/jfa/ date-released: '2025-11-14' contact: - family-names: Derks given-names: Koen email: k.derks@nyenrode.nl orcid: https://orcid.org/0000-0002-5533-9349